Security is enforced across the full operational intelligence stack.
Integrate corporate identity, MFA and role-based authorization instead of creating a parallel trust model.
Enterprise SSO
MFA policies
Role based access
Tenant isolation
Your operational data remains under your organization's control. Facthory can be deployed with defined data residency, approved regional model endpoints and enterprise-specific access policies. For stricter requirements, dedicated, customer-owned cloud, private cloud and on-premises patterns provide deeper infrastructure isolation.
Integrate enterprise identity and enforce authentication policies through the customer's identity environment.
Constrain users and agents to authorized organizations, projects, data, tools and administrative capabilities.
Protect enterprise information in transit and at rest using modern cryptographic controls.
Keep organizational identities, data and runtime context separated across enterprise tenants and deployment boundaries.
Preserve traceable records of important agent activity, approvals, changes, evidence and decisions.
Support enterprise networking patterns that reduce unnecessary public exposure and control system connectivity.
Facthory integrates with enterprise identity rather than creating another password silo. Our architecture supports Microsoft Entra ID based SSO, tenant-aware authentication, role-based authorization and customer-side MFA or Conditional Access policies. Browser sessions can remain separated from downstream access tokens, reducing unnecessary exposure of privileged credentials. The principle is simple: enterprise administrators remain responsible for identity policy, while Facthory enforces application and agent authorization inside the platform.
Evaluate relevant quality, safety and task performance before governed production use.
Apply tool, data, action, budget and human decision policies at runtime.
Record important activity, evidence, approvals, outcomes and changes for investigation and review.
Use evaluations, incidents and human corrections to refine models, policies and controls.
Facthory separates operational intelligence from dependence on one model provider. Enterprises can define approved models, deployment regions and data boundaries based on security, residency, performance and regulatory requirements.
Select supported regions for data and model processing according to enterprise residency requirements.
Control approved providers, model versions, routing and evaluation requirements instead of silently changing intelligence.
Keep enterprise policies authoritative over data access, retention, identities, integrations and agent actions.
Facthory provides technical and governance controls that can support enterprise compliance programs. Applicability depends on each customer's role, use case and regulatory context.
Support risk management, records, human oversight, technical evidence, robustness and cybersecurity controls where applicable.
Support controlled access, residency, retention, security and privacy-aware enterprise processing architectures.
Support risk-based security practices around access control, MFA, encryption, resilience, incident handling and supplier security.
Design controls with ISO 27001, ISO 42001 and SOC 2 assurance expectations in mind.
Compliance is a shared responsibility, not a product badge. The obligations that apply to an AI deployment depend on intended purpose, risk classification, sector, geography, organizational role and actual use. Facthory provides controls, evidence and deployment choices intended to help customers implement those obligations, but customers must determine the requirements applicable to their deployment. We do not represent Facthory as ISO/IEC 27001 certified, ISO/IEC 42001 certified or SOC 2 attested unless and until such an independent certification or examination has been completed. References to these frameworks describe control alignment and engineering direction, not certification status.
Enterprise AI should inherit your security model, your authority structure and your data boundaries, not create a parallel system outside them.
Define data sensitivity, AI risk, residency, identity and operational requirements for the use case.
Select deployment, regions, models, network paths and access patterns that satisfy those requirements.
Apply SSO, MFA, roles, data permissions, model policies, agent boundaries and approval gates.
Maintain logs, provenance, approvals and operational evidence needed for security and governance review.
Refine controls as models, regulations, risks and enterprise policies change over time.
Control source access, lineage, residency, retention and enterprise permissions around operational data.
Govern model providers, versions, regions, routing policies and evaluation requirements.
Bound tools, actions, data, budgets and autonomy levels for each agent or workload.
Route consequential decisions and exceptions to accountable people with evidence and explicit approval rights.
Preserve records of important changes, evidence, execution and decisions for later review.
Keep credentials and integration secrets outside application content and govern their use centrally.
Choose supported data and model processing regions to meet organizational residency policies.
Move from managed enterprise deployment to customer-owned or private infrastructure when isolation requirements increase.
Some organizations need stronger infrastructure separation, customer-owned subscriptions, private networking, locally controlled models or on-premises execution. Facthory supports those patterns through a dedicated deployment architecture. This page covers platform-wide security and governance; the private deployment page goes deeper into infrastructure topology and isolation.
Controls are designed with major European regulatory requirements and recognized security and AI governance frameworks in mind.
Risk-based AI obligations
Cyber risk management
Security and AI management
Independent controls assurance
Deploy operational intelligence with enterprise identity, governed models and agents, customer-controlled data and architecture choices matched to your regulatory environment.
